Generating a contextual search stream

ABSTRACT

Systems and methods are provided for retrieving first query result data associated with a first user account and rendering the first query result data into a first result item, generating a shareable search result stream comprising the first result item associated with the first user account, retrieving second query result data associated with a second user account and rendering the second query result data into a second result item, adding the second result item to the shareable search result stream associated with the first user account, and providing the sharable search result stream comprising the first result item and the second result item to a first computing device associated with the first user account and a second computing device associated with the second user account.

CROSS-REFERENCE TO RELATED APPLICATIONS

This application is a continuation of and claims the benefit of U.S.patent application Ser. No. 16/403,149, filed on May 3, 2019, which is acontinuation of and claims the benefit of U.S. patent application Ser.No. 14/176,997, filed on Feb. 10, 2014, which claims the benefit of U.S.Provisional Application No. 61/762,745, filed 8 Feb. 2013 and U.S.Provisional Application No. 61/762,749, filed 8 Feb. 2013, which are allincorporated in their entireties by this reference.

TECHNICAL FIELD

This invention relates generally to the search interface field, and morespecifically to a new and useful system and method for generating acontextual search stream in the search interface field.

BACKGROUND

The prevailing method of interacting with a given service on theinternet is accessing that service's website using a web browser orthrough an application provided by that service. With each servicehaving its own interface on the internet, services generally operateindependently from other services. Typically, users will visit one ormore sites and services, often times opening multiple windows and/ortabs, when researching a particular topic, searching with a particularagenda, or completing any other task. The used services (or evenmultiple interactions within a single service) however are “silo-ed”from other opened information, and each service often has an independentlook and feel with a unique navigation/interaction model. Such searchbehavior presents the user with high cognitive overhead and oftentimesinteraction redundancy. Thus, there is a need in the search interfacefield to create a new and useful system and method for generating acontextual search stream. This invention provides such a new and usefulsystem and method.

BRIEF DESCRIPTION OF THE FIGURES

FIG. 1 is a schematic representation of a system of a preferredembodiment;

FIG. 2 is schematic representation of an exemplary search streamcomposed of a plurality of contextually related cards;

FIG. 3 is screenshot of query tools of a search stream interface of apreferred embodiment;

FIGS. 4A-4C are screenshot representations of a modular query toolvariation of a preferred embodiment;

FIG. 5 is a screenshot of an exemplary result card;

FIG. 6 is a communication schematic of a method of a preferredembodiment;

FIG. 7 is a schematic representation of variation of a query enginereceiving service-processing instructions;

FIG. 8 is communication flowchart of adding a subsequent result cardaccording to context properties of the collection;

FIG. 9 is a flowchart representation of a method of a preferredembodiment;

FIG. 10 is a schematic representation of generating a template searchstream;

FIG. 11 is a communication flowchart of a variation generating acollection summary;

FIG. 12 is a schematic representation of a variation of a preferredembodiment including extracting patterns from cards of a search stream;

FIG. 13 is a schematic representation of an exemplary implementationinserting a product purchase interface;

FIG. 14 is a schematic representation of an exemplary implementationinserting a media playlist interface;

FIG. 15 is a communication flowchart of modifying queries made throughthe collection;

FIG. 16 is a communication flowchart of copying the collection to asecond collection of the authoring account and augmenting the secondcollection according to modified context properties;

FIG. 17 is a communication flowchart of copying the collection to asecond collection of a second account and augmenting the secondcollection according to modified context properties;

FIG. 18 is a communication flowchart of variation presenting andaugmenting the collection according to a second user;

FIG. 19 is a schematic representation of variation presenting andaugmenting the collection according to different users;

FIG. 20 is a schematic representation of a variation of collaborating ona collection of a preferred embodiment; and

FIG. 21 is a schematic representation of a variation of embedding asearch stream of a preferred embodiment.

DESCRIPTION OF THE PREFERRED EMBODIMENTS

The following description of the preferred embodiments of the inventionis not intended to limit the invention to these preferred embodiments,but rather to enable any person skilled in the art to make and use thisinvention.

1. System for Generating a Contextual Search Stream

As shown in FIG. 1, a query platform system 100 of a preferredembodiment can include a card stream interface 110 including at leastone query tool 120 and a result card 130; a query engine 140; a cardrenderer 150; and a social account layer 160. The system 100 functionsto provide a sharable search stream with collected information from atleast one service (e.g., through an API or through scraping). The searchstream that is generated by the system is preferably a series of cardsthat create an associative trail of cards. The system preferablyleverages the contextual information extracted from querying one servicein defining the query for another result card. The system 100 preferablyenables a user to interact with one or more services through visualquery based inputs. The results of the service queries are preferablynormalized in the display and functionality of the result cards. Anormalized query interface to multiple services can enable seamlesstransfer and utilization of context and meta data while building acollection of query results. Queries and actions of a user can bepersisted throughout a session, enabling information to be organicallyorganized into a stream while using the card stream interface. Thequeries and service use of a user is centralized to the query platformsystem, giving the query platform system access and management of theuse of a variety of services. The query platform system is preferablyconstructed as a web service platform executed on at least a server,server cluster, distributed server system, or any suitable computerinfrastructure. The query platform may additionally or alternativelyinclude at least partial implementation through a client side componentsuch as a mobile application, desktop application, embedded program,browser plug-in, browser-client application, or any suitable component.The query platform system 100 preferably includes an account or usersystem such that the query interactions and/or interface may becustomized on an account/user basis.

A card stream interface 110 functions as a collection of digital queryresult items (e.g., “cards”). The card stream interface no is a userinterface for interaction with the query platform system. The cardstream interface 110 is preferably presented in a website but mayalternatively or additionally be implemented as a mobile application, adesktop application or any suitable application rendering a userinterface. The card stream interface 110 preferably includes at leastone query tool 120 that can be used to populate the card streaminterface with a plurality of result cards 130. The card streaminterface 110 is preferably coupled to the query engine 140 and the cardrenderer 150 for querying various services and rendering results in thestream. A search stream is preferably progressively generated. A user orusers will incrementally add result cards 130 to the search stream. Asshown in FIG. 2, The result cards 130 of a search stream interfacepreferably will at times share shared context in that cards may be (atleast partially) generated and populated from content of other cards inthe search stream. The cards are preferably rendered in the stream as avertically scrollable list of cards. A user can review the previousqueries and results (explicitly saved or from query history) byscrolling through the cards and optionally expanding upon queriesthrough interacting with previous cards. The stream may alternatively beorganized as a horizontally organized list, a stacked list, a cover flownavigated list, a gallery grid presentation, a waterfall collectionpresentation or any suitable interaction metaphor for navigating acollection. In other embodiments, the stream may alternatively providecard organization by a tree hierarchy, path network, and/or any suitabledirected or undirected network of cards. Additional non-card elementsmay additionally be integrated into the card stream interface such asads, banners, navigational elements, controls, or any suitablecomponents.

A query tool 120 can function to initialize or trigger thequerying/search of a service. The query tool 120 is preferably anormalized query tool 120 that can automatically select from a set ofone or more query engines, services, and/or APIs. Preferably, there areat least two query engines, but the system can alternatively be usedwith a single query engine such as for an internal implementation for asingle service. As shown in FIG. 3, query tool 120 preferably includesat least a query bar 122, a navigational search interface 124, and/orquery links 126. The query links 126 can be embedded in the resultcards. The query tools 120 function to allow services to be queried andresults added to a stream. In some variations, the query tools 120cooperate to coach a user in the use of other query tools. For example,use of the navigational search interface 124 may automatically populatethe query bar 122 with an equivalent search. In another example, thetitle of a card generated through a query tool and/or additional contextinformation may be reflected in the resulting card.

A query tool 120 preferably creates a query that is then communicated tothe query engine 140 for servicing. A query is preferably designed toinclude a service identifier, service arguments, any additional orhidden context arguments, and any suitable query elements. The queryinput is preferably normalized across multiple services. Normalizedquery inputs are generalized to common format that can be converted to anative query input supplied to an associated service API module. In onevariation, the normalized query syntax can include a first word beingthe service identifier and subsequent words being entity identifiers.The services may be namespaced; developers, companies, services, andother entities may be allowed to register service names within the queryplatform system. Service identifiers may alternatively be tied tooutside namespaces such as a mapping against provided services and DNS.The service identifier can be outside services such as “Yelp”,“YouTube”, “IMDB”, “Facebook”, “LinkedIn”, “Wikipedia”, “Opentable”, orany suitable outside service. The service identifier may alternativelybe an internal service or meta service provided within the queryplatform, such as “places”, “calculator”, “movies”, “person”, or othergeneral service names. Internal or meta services may selectively tie tooutside services or provide general services for which there is no wellestablished service. Arguments can include any suitable information fora service query, such as a search term, dates, times, location, people,item or company identifier, or any suitable argument. The queries canpreferably be structured in a natural writing syntax, but any suitablesyntax may be used to construct the query. Arguments and/or the serviceidentifiers may be processed by natural language tools to account forvariations in specifying a query.

The query bar can be integrated with the search stream or collection ofresult cards. In one preferred implementation each result card generatedby the query bar is automatically saved to the search stream. In anothervariation, a user must explicitly save a result card to a collection.And in yet another variation, some cards are automatically saved (e.g.,“main result cards”) while other cards (e.g., “intermediary resultcards”) are not saved but may be selectively saved. In anothervariation, a querying interface is separate from the collectioninterface, creating a stream browsing mode and a query mode. In thisvariation, the query tool 120 can be displayed as an overlaid modularinterface that can be presented with the corresponding result card (whena query has been submitted) as shown in FIG. 4A. As shown in FIGS. 4Band 4C, intermediate result cards of the query tool can be shown andsaved within a “stack” or history of result data that can be navigatedthrough forward and backward navigation. In yet another variation, thehistory of result data can be managed within a separate workspace as aseparate stream or collection. The separate workplace can be used as atemporary query workspace that may be cleared after each browsingsession, selectively saved, or persisted across multiple sessions. Thehistory of result cards can form the query workspace, where a user canexplore result cards and then electively save the cards. Context withinthe workspace, and even the collection can be integrated. The modularquery tool can additionally include explicit saving of the intermediateresult card to a search stream. In yet another variation, a queryworkspace can be presented inline with the other result cards. Cardsexplicitly saved in the workspace are then moved to the saved resultcards. Related context from intermediate result cards can be bundled orlinked to save result cards so that the context is not lost.

A query bar 122 of a preferred embodiment is preferably a textbox fordirect user input of a query. The query bar may alternatively be anysuitable interface for receiving a specified query such as a voiceinput, image upload and processing interfaces, or any suitable interfaceto specify a query. The query bar 122 is preferably displayed at the topportion of the card stream interface but it may be positioned oraccessed in any suitable manner. As mentioned before, the query bar 122may be coupled to usage of other query tools, such that a query isdisplayed in the query bar 122 as a second query tool generates a query.In one variation, hovering over and/or selecting a query option in thenavigational search interface 124 will populate the query bar 122 with acorresponding query, which functions to reinforce and communicate thequery performed.

A navigational search interface 124 is a visual menu of query options. Anavigational search interface 124 functions to guide users in creating aquery and exploring the query options. A navigational search interface124 is preferably one of a plurality of query tools 120. A navigationalsearch interface 124 may additionally be presented if only a serviceidentifier is specified in the query. The navigational search interface124 is preferably displayed in a card or in an alternative userinterface element to present services or types of queries. A top-levelnavigational search interface 124 preferably includes top level querytopics such as restaurants, events, media, shopping, local, reference,travel, social as shown in FIG. 4A, but may include any suitablecategories. Selecting a query option will preferably navigate throughoptions until a desired query has been built. For example, a newrestaurant top-level option of the navigational search interface 124 maybe selected (as shown in FIG. 4A), the navigational search interfacetransitions to a set of restaurant options using context information ofthe collection or the user account (as shown in FIG. 4B), and once afinal place entity is selected a result card is presented which can besaved (as shown in FIG. 4C). The user can navigate back and forth thesevisual query steps. The navigational search interface 124 mayadditionally present user interface elements such as text boxes, datepickers, dropdowns, and other user interface elements to construct aquery. As a user navigates through options of a navigational searchinterface 124, the query bar 122 may be populated with an equivalentquery.

Query links 126 of a preferred embodiment are preferably link elementsthat function to provide link-like UI elements to initiate a query.Query links 126 may be used through out the query platform, and mayadditionally be used outside of the query platform by other applicationsor websites using a standard link protocol. The query links 126 arepreferably used within a card to allow related cards to be added to thesearch stream. Within a card, a query link 126 can be a related orrecommended query based on the current card and/or the cards containedin the stream. Clicking a query link 126 will typically result in aquery being performed and a card added to the search stream. Query links126 are often links to outside services that are converted to generate acard with information equivalent from the outside service. The querylinks may alternatively be links to internal services, the same serviceas the associated card. A menu could additionally be used to submitsub-queries to a service or related services of a card.

As shown in FIG. 5, result card 130 of a preferred embodiment is avisual element that communicates the processed results of a query. Aresult card 130 is alternatively described as a query result item. Theresult card/result item 130 acts as a visually tangible user interfaceelement representing query result data from at least one query submittedto a service. A search stream will preferably include a plurality ofresult cards 130. Each result card 130 (or more simply put card) ispreferably the result of at least one service query. In alternativeembodiments, multiple services and/or queries may be used to generate orretrieve the data used in the result card 130. In another variation, aplurality of result cards 130 may be generated from a single query.Preferably, result cards 130 in a search stream will share context datathat is used. Cards 130 are preferably presented as block user interfaceelements with a normalized appearance (i.e., substantially consistentappearance across services). However, the cards may alternatively beformatted with any suitable representation. In one variation, a card isrendered in a consistent manner across queries to a particular serviceor more preferably to queries to similar services. The result cards 130will preferably include a title, content, reference links to sourceinformation (e.g., webpage of the associated service or to anapplication of the service), and recommended query links. The title willpreferably reflect the query used to generate the contents of the card130. The content is preferably formatted data that resulted from thequery. The content can be informational, data, or media for consumptionby a user. However, the content may additionally include interactiveelements such as forms, applications, application/service/devicecontrols, or any suitable input that may be used to alter state. Forexample, a result card 130 may be able to allow a user to add content toan outside service (e.g., submit a blog post, tweet, update a profile,Etc.). In one variation, the card stream interface 110 preferablyprompts a user to confirm actions performed outside of the queryplatform. For example, if a user selects a movie time in a movie card,the user may be directed to a site to purchase tickets at that time.When the user returns to the query platform, the user may be asked toconfirm the purchase of those tickets and then a time and locationcontext may be set based on that action. Recommended query links arepreferably query links 126 for related service queries. The recommendedqueries may include query links 126 for similar searches in the sameservice, queries using similar services, queries using afavorite/preferred service of a user, or any suitable recommended query.For example, a card 130 with content relating to a movie show time mayinclude recommended query links 126 for restaurants near the movietheater, movie reviews, events after or before the movie, or anysuitable recommended query. Recommended query links 126 are preferablydisplayed in the footer of a card 130, but may alternatively bedisplayed in any suitable manner. The metadata or context of the card130 or of the stream is preferably used in the query links 126. Links inthe content may be converted to query links. Query links 126 in the card130 preferably result in a subsequent card 130 being added to the querystream. In some instances, cards 130 may be replaced or animate to areplacing card when a specific type of query link is activated within acard. Such query links 126 will herein be referred to as transitionquery links. Transition query links will typically be used when a querywas unable to narrow the service results to intended content. Forexample, if a query is “Yelp Starbucks in San Francisco”, the resultsmay include numerous store locations, which can be displayed in thecontent of the result card. When a user selects one of the cards,instead of creating a new card, the content of the card may be replacedwith the query results for that specific store location. When a modulequery tool 120 is used, a query result card 130 can be presented for thecurrent query. In one implementation, the query result card 130 is notautomatically added to the stream. The query result card 130 can beaccompanied by a selectable option (e.g., a button) to save or add thecard 130 to the current stream or a different stream. In the case, thata result card includes a set of transition query links then the saveoption may not be displayed. Cards 130 may additionally include inputfields or controls to refine queries.

A query engine 140 functions to perform a service query and retrievedata for a query response. The query engine 140 preferably includes aquery classifier 142, a service API module 144, and a query dataprocessor 146. Queries are preferably submitted to the query engine 140from one of the query tools 120. The query classifier 142 preferablyidentifies a service specified in the query object. For example, in thequery “Yelp Slanted Door”, the first word “Yelp” is preferablyidentified as the service and “Slanted Door” is the argument of the yelpquery. In some situations, a query will not specify a service. The queryclassifier 142 preferably includes an entity component (e.g., a databaseor server) that performs or facilitates a search for the arguments, andfrom that deduces a suitable service. For example, the argument “SlantedDoor” may be stored as an entity with a classification as a restaurant,physical address, ids to services that provide information. The entitycomponent may build up data through use of the query platform system.The query classifier 142 may additionally aid inauto-complete/suggestions for the query bar, for servicerecommendations, and other suitable features.

A service API module 144 preferably performs an API query in response toa submitted query. Each service implementation preferably includes aservice API module 144 that defines how a query should be made. Sinceoutside services have a variety of ways of providing access toinformation, each service preferably utilizes a custom service APImodule 144. An API server preferably hosts one or more service APImodules 144. An API server may be configured to support a subset of theset of all supported services. A manifest can be generated from the APIservers and supported API services, such that queries may be routed tothe appropriate API server from the query classifier. A service APImodule 144 preferably defines at least the process, routines, and methodin which the query platform retrieves data from outside services.Preferably, a service API module 144 is configured to communicate to aservice through an API provided by that service. Alternatively, theservice API module 144 may be configured to communicate with the serviceand retrieve data through alternative interfaces such as by scrapinguser interfaces, simulating application use, automating user queries ofthe service, or through any suitable manner. Additionally, a service APImodule 144 may be a meta-service that is configured to communicate witha plurality of data sources. For example, a “movie” service may pullmovie information from IMDb, reviews from Rotten Tomatoes, and showtimes from Fandango, and combine all the data into a single result cardfor a single query. Similarly, a plurality of result cards may begenerated for a query of a service API module 144. Furthermore, oneservice API module 144 may access at least a second service API module144 to retrieve supplemental information. The service API module mayadditionally specify or determine at least a subset of the recommendedquery links included in a result card. In an alternative embodiment, thesystem may be implemented with a single service. For example, a singleservice provider may implement the system for performing contextualsearches of internal information. The service API module 144 willpreferably interface internally with the service either through an APIor directly with the data resources. The query engine 140 mayalternatively be modified in any suitable manner to accommodate a singleservice or limited set of services. Additionally service API modules 144may manage local databases. The local databases can be stored orcollective knowledge that may be inserted into result data of a resultcard. For example, a movie service may learn upcoming movies and insertsuch information in related result cards. The local database informationcan further be used for processes such as auto-completion.

A query data processor 146 functions to interpret the results of aquery. In some situations additional communication with the service maybe required. The query engine 146 preferably returns the mostappropriate data for a query. Thus multiple API calls may need to bemade to the service to refine the results. In one example, a service APImodule 144 may return a redirect instruction to another service APImodule 144. The query data processor can facilitate the redirection tothe other service API module. For example, a movie service may recognizethat the query “movies The Office” should be sent to a TV service, andthe query data processor 146 may direct the query to the TV service APImodule 144. Similarly, a service may be down, return corruptedinformation, return an error message, or act in an unexpected manner.The query data processor 144 can preferably be configured to detect dataanomalies and take appropriate action. In one case, the query dataprocessor 144 may direct a user to an alternative/backup service API.Additional arguments and metadata may be used in refining the results ofa service. The query data processor 144 may calculate additionalmetadata to add to the result data. The metadata may include fields suchas location, thumbnails, tags, reservation information, etc. The querydata processor 144 may additionally use a recommender to identifysuitable services to include as recommended query links 126.

A card renderer 150 functions to generate a result card 130 to add tothe card stream interface 110. The card render 150 preferably receivesthe data results from the query engine 140. The data can becharacterized in a data serialization/interchange object, preferably asJSON, but any suitable form of data modeling may alternatively be usedsuch as XML, OGDL, YAML, CSV, or any suitable format. Card templates maybe used to determine how the data is rendered. There may additionally bea variety of templates for different conditions. For example, a set oftemplates may be for the authoring account, collaborators on the stream,and public viewers of the stream. The result data applied to a templatepreferably generates display instructions for the card 130. In onevariation, this is preferably HTML markup specifying the content. Inanother variation, this may be data instructing how native views shouldbe constructed in a native application.

A social account layer 160 of a preferred embodiment functions to enablemultiple accounts to interact with content of a search stream. Thesocial account layer 160 preferably supports multiple accounts. Users,applications, or other entities can preferably register for the queryplatform or alternatively interface with an account system with anoutside system for authenticating and initializing accounts. An accountcan preferably create, view, collaborate, and/or interact with a searchstream. An account can preferably generate a plurality of search streamsthat are stored in a collection or collections. As the query platform isused by a plurality of accounts, queries and/or result cards 130 may becached for use by subsequent requests by other accounts, which functionsto improve the latency and responsiveness of a card stream interface110. The social account layer 160 is preferably used to enable uniqueapplications on top of search streams generated by accounts. The socialaccount layer 160 can enable copying of search stream content,generating a search stream from a template, sharing search streamcontent, embedding search stream content, collaborating with otheraccounts on a search stream, or using a search stream in any suitablemanner.

2. Method for Generating a Contextual Search Stream

As shown in FIG. 6, a method S100 of a preferred embodiment can includereceiving a query input S110, retrieving result data of the query S120,rendering the result data into one or more result cards S130, and addingthe card to a stream S140. The method functions to use a plurality ofservices to enable a search stream interface. A search stream ispreferably a collection of related service queries. The methodpreferably organizes the stream into a single window of cards such thatprevious queries can be quickly and efficiently viewed. Typically, atleast two cards in the search stream share contextual information, suchthat a query of one service is generated at least in part from thecontent/results of a first query. Contextual information form one ormore cards, the stream as a whole, and/or multiple collections can beused as sources of context, which can be compounded and refined throughcontinued use of the query platform. The method of the search streampreferably has numerous applications such as planning an itinerary,researching people, researching places, researching products or topics,making lists, creating a collection of related information, or anysuitable application. Method S100 is preferably performed within aprovided query platform that includes a query tool and a collection ofresult cards, but any suitable system may alternatively be used.

Block S110, which includes receiving a query input, functions to obtaina request for information from a user. The query input is preferablyreceived through one of the query tools described above, a query bar,navigational search interface, or a query link. The query input mayalternatively be supplied through any suitable source such as analternative query tool or an API of the query platform. A query input ispreferably in a query syntax normalized across a plurality of externalservice providers. A query preferably includes a service identifier andservice arguments. A query input can be directly entered by a user orsupplied through a query link. A query input can alternatively be aprocessed version of a semantic query input. Additional contextualinformation may additionally be added to the query, such as location,user account identifiers, query history, and the like. Locationinformation may be added by using location information obtained from thedevice using GPS, cellular triangulation, wi-fi location identification,or any suitable location detection technique. Location information mayalternatively be added using location information of a card in thestream. In one variation, a query link of card may be activated. Thecard may include location metadata for the card or for that particularquery link. Contextual information can additionally or alternatively beapplied while retrieving result data of a query input, when processingthe result data.

Block S120, which includes retrieving result data of the query,functions to access a service to fulfill the query. Retrieving resultdata of the query may include classifying the query S122, retrievingresult data through a service API S124, and optionally processing resultdata S126. In one preferred embodiment, the result data is retrievedfrom at least one service selected from a set of possible services. Inan alternative embodiment, the set of services may be composed of asingle service. The set of services preferably includes externalservices. In an alternative embodiment, the result data may be retrievedfrom an internal service and/or retrieved from internal data resourcesor processors. In one variation, retrieving the result data is performedcontinuously as the query is edited. Predictions or suggestions for thequery based on the current state of the query can be generated andrendered for user selection. The predictive query results can besuggested query terms based on query patterns made within the system,but the suggested query terms may alternatively be pulled fromautosuggestions pulled through an external service. Additionally oralternatively, result cards can be shown in part or whole in apredictive manner based on the currently predicted query.

Classifying the query S122 of a preferred embodiment functions todetermine an appropriate service or services to collect data from. Aquery received in Block S110 preferably includes a service. In oneembodiment, services are preferably specified at the beginning of aquery, but may alternatively be specified in any suitable part of thequery. For example, a query of “movies Casablanca” could be a queryidentifying to use the movie meta service to fetch a result card onCasablanca. If a user were to select to query a particular service, suchas IMDb, then the query could be “IMDb Casablanca”. When a query isidentified, a server preferably routes the query to an API serverconfigured for communication to the identified service. If a service isnot identified, classifying the query may include identifying an entityrecord from an entity module that corresponds to at least one of thequery arguments. The entity record will preferably be a data model of anargument, which will include parameters that specify a type of service,a specific service, or a set of possible services. If such an entityrecord is not identified or does not include a suggested service,classifying the query may include performing a semantic search. In oneinstance, a query input is a freeform user query input, which specifiesdesired results in a semantic manner. A freeform query input can beclassified into a normalized query input. In a semantic search,parameters of the entity record and/or the query arguments may be usedto identify a suitable service through general services such as a searchengine, informational resource (e.g., Wikipedia), or other services. Forexample, a query may be classified by initially querying a searchengine. If the query was just the name of a restaurant, results of thesearch engine may include a number review sites and/or restaurantrelated sites. A restaurant service may then be selected for the query.A query may alternatively be classified for a particular service in anysuitable manner. A semantic search can additionally apply contextualparameters, query history, collection status, user profile data, andother suitable properties to instruct execution of the semantic search.A semantic query can be formatted into a normalized format that isconsumable by a service API module. Once a query is classified the queryis preferably routed to a suitable service API module that is configuredto handle querying a particular service. Additionally or alternatively,a query may be routed to multiple service API modules to obtain datafrom multiple services.

In some cases, the semantic search engine may not be able to effectivelyclassify a query and/or require disambiguation. If a query is ambiguousacross multiple services, one possibility is the query is executed usingthe path/service that contains strongest match. The workspace interfacewould then display the result of that query, but also a disambiguationdisplay of some sort to allow the user to refine that query. In anothercase, if there is no strong match, the user may be prompted to refinethe query by specifying a category or service to scope the search. Thedisplay of this “disambiguation” module to the user may vary. In oneimplementation, the disambiguation module could appear as categoricaltabs that exist on top of a result card. It could be a dropdown menu. Itmay always be present in the query workspace, or we may show it only ifthere is need for disambiguation.

Retrieving result data through a service API S124 of a preferredembodiment functions to communicate with a service provider. Eachservice provider will preferably have a unique API and thus a module canbe created to target each service provider. Retrieving of result datafor a query input is preferably made through an external service that ismapped to the query input. The mapping is preferably established througha service identifier specified in the normalized syntax of the queryinput. Additionally or alternatively, an appropriate service can bemapped through classifying the query. A service API module preferablyspecifies how arguments should be formatted and integrated into the APIrequests to the service. When communicating with a service provider, aplurality of API requests may have to be made to retrieve the intendedinformation. In an alternative embodiment, result data may be collectedfrom services without an API by scraping user interfaces, simulatingapplication use, automating user queries of the service, or through anysuitable manner. In one variation, a service will preferably be ameta-service that may collect data from a plurality of API's or scrapedservices. A meta-service preferably generates a card from multiplesources. For example, a “movie” service may pull movie information fromIMDb, reviews from Rotten Tomatoes, and show times from Fandango, andcombine all the data into a single result card for a single query. Inanother variation, a particular service may require accountauthorization. The query platform can negotiateauthentication/authorization prior to performing any queries with theservice (e.g., using OAuth or any suitable authorization process);authentication tokens or other credentials can be used to query theexternal service using the account of the user. For example, a user maybe able to make queries against a financial service of which they haveanother account. The user will add the financial service account to hisor her account on the query platform, and then when querying thefinancial service the personal data can be returned. Additionally,processing result data in Block S126 may necessitate subsequentcommunication with the service to refine the result data.

A method of a preferred embodiment may additionally include processingresult data S126, which functions to manage the data responses of aservice. Result data is preferably processed into normalized resultdata. Normalized here defines the interoperability of the data to bedisplayed in a formatted result card. In some cases, related servicescan be interchanged depending on user preferences or other conditions.Processing result data may include analyzing the result data anddetermining if results match expectations of the query. In somesituations, result data may be able to be automatically refined toincrease the relevance of the data presented in the card. For example, aquery for a particular store may initially return a list of storeoptions. If a single match of the store name is found in the results,then the service may be queried again to retrieve information for thatparticular store. Similarly, context data of the search stream may beused to refine the relevance of data. For example, if there are multiplematches but only one with location corresponding to location informationof the search stream, then the service may be queried again to retrieveinformation for the nearby store.

Processing result data may additionally include identifying recommendedactions of the card S128. The recommended actions are preferably enabledthrough recommended query links when the result card is rendered. Therecommended query links may be based on service provider, type of query,specified query links, automatic analysis of result data, or based onany suitable aspect. Additionally, when processing results, the queryplatform may additionally be updated with information from the resultdata to improve future queries. For example, query results may be cachedand entity records updated. In one implementation, a result card can beassociated with a single canonical entity representing the resultingdata within the query platform. The single or centralized entity modelcan afford greater cohesion between collections that include the samequery. Updates to the single entity can result in updates to the resultcard in other collections. In another implementation, a result card canbe associated uniquely with the collection. In this variation, a firstresult card of a query can be distinct from a second result card of thesame query

Block S130, which includes rendering the result data into a result card,functions to convert the data of the service to a normalized displaygraphic, interface, or presentation. The result data is preferably in aserialized data format such as JSON. The result data is preferablyapplied to a card template. Each service can have multiple cardtemplates. Card templates may be dynamically selected for renderingbased on conditions. In one situation, a card template may be selectedbased on the viewing device (e.g., desktop template vs. mobiletemplate). In another situation, a card template may be selected basedon viewing privileges of the account accessing the card (e.g., authorcard template, contributor card template, public access template).Rendering the result data into a result card preferably generates HTMLthat is transmitted to a client device. Alternatively, display code maybe transmitted to an application, which then interprets the display codeto natively display the card.

Block S140, which includes adding the card to a stream, functions to addthe rendered card to a search stream. The search stream will preferablybe built up from a plurality of queries. New search streams may bestarted at any point in time. An initial query will preferably result ina first result card being added to the search stream. Subsequent querieswill preferably be added to the stream. All cards are preferablyaccessible and persistent when viewing a stream, as opposed todisplaying the cards in separate windows. The method may additionallyinclude providing a navigational list interface, which enables acollection of cards to be viewed and navigated. Preferably the cards areorganized in a scrollable vertical or horizontal linear list of cards.The cards may alternatively be organized in a grid, cover flow, stackedlist, or any suitable arrangement of card objects. In one variation, aresult card may be added to the top or bottom of the search stream suchthat result cards are ordered chronologically according to query order.In another variation, a result card may be inserted into the card streamwith associative proximity to an originating result card. For example,if a query link of a first card generates a new card, the new card maybe inserted into the search stream above the first card. Additionally,the card stream may be configured for networked organization of cards.Cards may be organized in a tree or connected network of cards. Cardsmay alternatively be organized in any suitable manner. Result cards inthe search stream may additionally be minimized, removed, repositioned,refreshed (e.g., update to current information), edited (e.g., alteringthe query of the card), or modified in any suitable way.

The method is preferably performed iteratively to construct a stream ofa plurality of cards. As mentioned before, the context of one cardobtained by a first service can be used to impact the query of a secondservice and results of a second card in the stream. Adding a subsequentcard to the stream can include retrieving from a second external serviceprovider API result card data, wherein the result data is retrievedaccording to the context parameter of a parent result card, anotherresult card in the stream, the context of the stream, or any suitablecontext as shown in FIG. 8. Context may additionally or alternatively beprovided or supplemented by other factors such as user accountinformation, current location, access to particular services,preferences, personalization of service, or other suitable information.Context properties can be used to modify the query input. For example,location information can be transparently added to queries made to aservice. Context properties can additionally or alternatively be used inselection of a particular service. Context may additionally oralternatively be used when processing result data from a service. Forexample, context properties may be used to invoke a filter on a resultdata to refine the result data to contextually appropriate data. Thecontext properties can additionally be used during subsequent refiningqueries. Performed iteratively, the method may eliminate the task ofentering redundantly supplied information for different services. Forexample, may services will need to know location, date, and timeinformation for a query. Such information may be obtained explicitly(e.g., user entered data) or inherently (e.g., selection of a movie timeat a particular theater indicates time and location).

Additionally or alternatively, a method of a preferred embodiment mayinclude receiving service-processing instructions, which functions toenable adding customized services to the query platform. In oneexemplary use-case, developers may develop a service API module, cardtemplates, service name, related services, and/or other suitablecomponents. The developer preferably submits such components in aservice-processing instruction set. The service-processing setpreferably specifies how to retrieve information from a service and atleast a template to be used with the returned data. The developer mayadditionally register a service name within the namespace of the queryplatform. Users can then use that service by using the registeredservice name in a query. The developer may additionally provide a listof related services or related queries to be used in recommended querylinks. Alternatively, recommended query links and query categorizationmay be at least semi-automatically generated through content analysis.In one variation, the query arguments used in previous uses of thedeveloper service may be matched against classifications in the entitymodule. The query platform can use machine learning and other dataanalysis techniques to predict similar services and queries. Customizedservices can preferably be fully integrated into the query platform. Byenabling outside entities to create and integrate new services, thequery platform can grow to supply an ever-increasing range of dataformats. Services may additionally be monetized by accounting, metering,charging, measuring, or monitoring usage of a particular service.

3. Method for Interacting with a Contextual Collection

As shown in FIG. 9, a method for interacting with a contextualcollection of a preferred embodiment preferably includes generating acollection of query result items S100, storing the collection as a firstinstance S200, and augmenting the collection through at least onecontext property S300. The method functions to enable a variety of usecases for collections/search streams. The method is preferablyimplemented by a query platform system as described above, but mayalternatively be implemented by any suitable system. The collections arepreferably created and managed within a single query platform, butcollections may alternatively be hosted on a variety of platforms ordevices. The method and related variations are preferably applied to acollection of result items (e.g., cards) as above. However, the methodfor interacting with a contextual collection may alternatively beimplemented for any suitable collection of digital items created throughany suitable means. The collections preferably initially includecontextual metadata or properties, which can be explicitly shown in therepresentation of the result items or may be transparent to therepresentation of the result items. Additionally, the digital itemspreferably have a data source, and more preferably a data sourceresponsive to a set query input associated with the particular digitalitem. The method can have particular applicability to collections ofdynamic items that can be updated (e.g., repeating a query), redirected(e.g., using a different external service), modified (e.g., altering thecontext properties or query terms), or altered in any suitable manner.The method can include a variety of variations that may be employedwithin an ecosystem of users and collections in any suitablecombination. As one preferred embodiment, the method for interactingwith a contextual collection can involve extracting contextualinformation from the result items and presenting collection summarycontent. In another preferred embodiment, the method for interactingwith a contextual collection can involve altering representation of theresult items based on the viewing user account. In a related embodiment,the method for interacting with a contextual collection can involveduplicating the collection and updating the result items based on theviewing user account and/or directives delivered when copying thecollection. In one preferred embodiment, the method specificallyfunctions to enable multiple accounts to share, interact, access, andotherwise use accessible collections of query result items.

Block S100, which includes generating a collection of query resultitems, functions to create a collection of cards compiled with data fromvarious services. The collection is preferably created through a queryplatform described above and/or through the method S100 described above.The collection is preferably a series of result items (e.g., resultcards) that are generated through queries of at least one service andmore preferably selectively from a set of external and internalservices. The collection (i.e., a search stream of query result cards)can be ordered and arranged in any suitable arrangement. The collectionis preferably generated through queries by at least one user, acollaboration of a plurality of users, or any suitable participants.Each query is preferably converted to an API service request (e.g.,through an API of a service provider or through scraping content from awebpage) that is converted into result data and then subsequentlyrendered into a graphical representation of the result data. The queriesand the data associated with the result cards preferably provide contextdata for the collection. The context data (i.e., metadata) of a resultcard may or may not be presented in the interface representation of theresult card. Additionally, between any two cards there can exist anassociative trail of metadata, where context of one card is used toaugment or modify another card. Additionally, metadata can be generatedfrom processing the collection of cards in the stream. In one preferredembodiment of generating a collection, context data of one card is usedin querying a service for data in a second card. For example, thelocation information associated with an initial result card may be usedin querying restaurant information from a second service for a secondresult card.

Block S200, which includes storing the collection as a first instance,functions to save collections for future use. The collection at a firstinstance can be the collection at particular time, location, as viewedby a particular account, or any suitable contextual instance. Asdescribed in block S300 the collection can change between differentcollection instances (e.g., when viewed by different users, when copiedto other/collections accounts, when automatically updated by the queryplatform, when shared with different groups, when used as a template togenerate other collections). The collection is preferably saved andcredited with an original authoring account. An account can preferablysave a plurality of collections. A collection may be saved for privateaccess by only the authoring account, for collaborator access, forinvited viewer access, for public access, and/or any suitable definedviewing and contribution access. A saved collection can preferably beedited and modified after being saved. More preferably, collections arecontinuously saved at least for private viewing. Collections may includea publish or share action in which the collection access will bechanged. A URI is preferably designated for a collection.

The result cards of a collection are preferably cached. In onevariation, the rendered result cards are cached (e.g., the HTML). Inanother variation, the result data is additionally or alternativelycached (e.g., JSON data). In one preferred embodiment, the result cardsare static and remain constant for subsequent views of a collection.Caching such cards can reduce the processing required to display a fullcollection. Additionally or alternatively, some cards may requirerefreshed or live data for a card, and cached queries performed onbehalf of other accounts, and stored classification may provideefficiencies in querying outside services. Similarly, a query resultcard can be individually stored for a particular collection and/or user,but alternatively a canonical result card can be maintained forcorresponding queries made by other users. For example, a single versionof a result card can be maintained for the query of “Movie Casablanca”.Whether the result cards are canonical versions or individualizedversions, result cards can be a live version (updated at the time ofloading the stream or live to within a certain time frame such as thepast hour) or the result card can be a historical snapshot. For example,a stock quote result card can be stored as a live view showing thecurrent status of the stock or the stock quote can be stored as ahistorical record from a particular day or time period. Furthermore,storing result card data can support result card rollback, so thehistorical record of a result card can be explored.

As one exemplary data model architecture that supports canonical resultcards, a collection data object can store an array of items that includeresult card references. Each item could store a pointer to a canonicaldata object entity representing the presented data of the result cardand optionally any related metadata. An item can additionally store anystream specific related result card information such as comments,captions, social promotion records (e.g., a count of favorites), a timestamp of when it was added to the stream, and/or any suitableinformation. The collection data object can additionally storecollection level information such as the title of the stream, thesharing setting configuration, extracted metadata, and other suitableinformation.

As an exemplary data model architecture that supports individual resultcards can be substantially similar to the above data model, but insteadof storing references to the result card, a result card data model canbe stored for each item. The result card data model can include anymedia resource data or references, parameter values (e.g., descriptiontext), metadata (e.g., location, selected time windows, and the like),tags, query links, and/or any suitable parameters.

Block S300, which includes augmenting the collection through at leastone context property, functions to enable actions and interactions witha collection during subsequent access. Numerous forms of access may beenabled, but the access may involve sharing, multi-useraccess/collaboration, embedding, generating other collections, modifyingcollection based on condition of the access, automatic transformation ofthe interface relating to the collection as the collection is updated,and/or any suitable feature. Augmenting the collection can function toconditionally update the collection. A collection may be displayeddifferently based on time of viewing, the viewer of the collection, thelocation information of the viewing device, the type ofdevice/application on which the collection is viewed, the type ofinformation in a card of the collection. The different modes ofaugmenting the collection may be performed in combination or atdifferent times within a query platform.

Once saved, a collection will typically be accessed at a future time andpossibly by another user. The conditions of viewing the collection canmodify the collection. In some cases modifying the collection mayinvolve applying a specific template, but in other cases it may includealtering the content of a result card. In one situation, the content maybe refreshed by performing the query a second time. In another situationthe query may be repeated but with a different service. The differentservice is preferably based on preferences of a viewing account. Forexample, a collection author may use one preferred service forrestaurant reviews, but a second account has preferences set to use asecond service for restaurant reviews. A card with a restaurant reviewmay be refreshed to show the content of the second service for thesecond account. The automatic selection of user-preferred services togenerate a result card can be particularly useful when the type ofservices rely on personal accounts with the external service (e.g., afinancial information service, a social network service, etc.). Inanother situation, the query may use alternative meta data that providescontext to a query such as location, time, dates, people and the like.

The collection used in the method can include live and/or static resultcards. In a variation, where a result card of a collection is a liveresult card, then augmenting the collection can include updating theresult data of the result card at substantially the time of presentingthe collection. A collection can additionally include a combination oflive and static result cards. Preferably, a result card may have theoption to be selectively set as a live or static. Alternatively,particular queries, services, or templates may be pre-configured to seta result card as a live result card or a static result card. Staticresult cards preferably have associated result data from a servicecached such that the query is not repeated even when displaying theresult card to other users in other browser or application sessions.Live data preferably updates at least a portion of data on the resultcard once for each viewing session. For example, a stock result card,may want to update the stock price to reflect a substantially live stateof the stock price. Live result cards may be partially or fully live. Apartially live result card updates only a portion of data on the resultcard (e.g., the stock price and not company information). A live resultcard preferably has content data streamed, continuously updated,periodically updated, or updated in any suitable manner to reflect livedata. Live data is preferably obtained through making repeated queryrequests. Alternatively, live data may be obtained through using a livedata feature of a particular service such as establishing an eventsubscription or configuring messages to be routed, pushed, or sent tothe result card. Alternatively, live data may be retrieved for eachloading of the collection. For example, refreshing a webpage with acollection will preferably result in a querying a service for updatedcontent of a result card. In a similar variation, a collection may bemade live such that result cards are dynamically added based on externalfactors. For example, a collection may be linked with a locationcheck-in application, and every time a user checks in to a location, thequery platform is notified and the collection is updated with a resultcard for that location. In this way, the content of the collection ismade live not just individual result cards. A live card may additionallybe stored and/or managed differently from a static result card. In onevariation, a live card is stored once globally and other live cards forthe same query reference the global live card. For example, a liveresult card on a particular stock will reference a global live resultcard that is maintained a single time within the system.

Additionally or alternatively, a second instance of a collection mayinclude creating a template from the first instance of the collection,which functions to make the sequence of queries in the collection to bereplicated for other scenarios as shown in FIG. 10. Typically,particular parameters of a collection may be designated as a variable,and any cards dependent on the context of that card will be tied to thatvariable. More specific, the queries of one result card can be dependenton context variables and metadata of originating cards. The result cardsdependent on altered context cards can be regenerated with a new query.Collection templates are preferably useful for allowing users to quicklygenerate a whole stream by updating only a minimal number of fields. Thecollection template may be generated automatically from an existingcollection. Alternatively, a search steam template may require at leastpartial user interaction to define the variables of the template. Forexample, a collection may specify an itinerary for a movie night. Afirst card preferably specifies a movie and show time, a second card isa map of the movie theater, and a third card lists nearby restaurants tothe movie theater. The movie and show time may be set as templatevariables. A user using the template card to make second collection maybe guided in selecting a movie and a show time. The query platform canuse those template variable responses to create a query stream withsimilar types of cards as the original template collection but usingqueries with the selected movie and show time (i.e., the map card andthe restaurant card will automatically be generated from the contextinformation of the selected movie showing). In one implementation,cloning, copying, or forking a collection can result in presenting auser interface with automatically selected customization variables. Forexample, location, time, item selection, search terms, and otherinformation can be pulled from the original collection as optionalvariables. The extracted variables can then be presented to the user toedit. After committing the edits, the new collection is updated andpopulated with new result cards. In an alternative implementation, thecollection is directly copied to a new collection instance of the sameor a second account. As described above, a collection can include achild result cards wherein the child result cards depends on at leastone context variable of a parent result card and/or a stream contextcard (extracted through patterns of at least a subset of result cards(e.g., average geographic region). In a user interface with userselected saving of result cards, context variables can exist from hiddenresult cards that led to a saved result card, but where not themselvessaved to the collection.

Augmenting the collection may additionally include extracting patternsfrom a plurality of cards S310, which functions to detect contextpatterns created by at least a subset of result cards in a collection.The extracted patterns can be used in generating a collection summaryfrom the extracted patterns S312 as shown in FIG. 11. The collectionsummary can be a query actionable content, where query actionabledescribes the property of the collection summary to take an action indirection to at least a subset of the result cards. The query actionablecontent can be a purchase interface, a calendar scheduling tool, atravel planning tool, or any suitable tool. The summary is preferablyconstructed as a collection is constructed or after a collection isconstructed. In one preferred variation, the collection is analyzed andemerging patterns are identified after each action in the collection.Meta data of the cards is preferably used in creating the summary. Aplurality of patterns may be configured for different situations. Thecards and the meta data of a collection is preferably analyzed, and ifthe collection matches at least one pattern, then a collection summarymay be generated and displayed. Patterns may include a plurality ofcards with a time attribute, location attributes, price attribute,people attribute, classification attribute (e.g., restaurant card, musiccard, video card, product card, etc.), service attribute, or anysuitable attribute. A related variation can be used when multiplecollections are associated with the collection. For example, multiplecollections are associated with the collection through the account whenan account created, follows, or interacts with other collections.Patterns and context information can be extracted from these collectionsas well and used to supplement or contribute to the collection summary.The summary may additionally provide additional actions such asrecommended queries and particular actions. Some exemplary actions mayinclude performing a bulk action on a plurality of items such aspurchasing, performing a service-specific action on a group of items.

In one variation, the extracted patterns may be used to insertcontextually appropriate advertisements, sponsored, or suggested resultcards into the collection. In another variation, an extracted patternmay conflict with contextual information of a result card. In such acase, the contextual information and optionally queries of related cardsmay be updated to resolve the conflict, either automatically or afterprompting a user for direction. For example, if one result card had setthe user contextual location information to San Francisco, butsubsequent cards all related to Los Angeles, a prompt may be displayedasking if the user would like to update location information to SanFrancisco. As an exemplary use case, a collection focused on planning amovie night with friends may include a selected movie time and dinnerreservations. The location and timing information for each card may beextracted and formatted into a summarizing itinerary with a timelinespecifying the movie time and dinner reservations, and a map withdirections between the movie and the restaurant as shown in FIG. 12. Asanother exemplary use case, a collection may be generated with aplurality of products. The prices of the products may be itemized andtallied in a product summary. A product purchase element can be added tothe top (or any location) of the collection interface as shown in FIG.13. The product purchase element can be automatically invoked when itemsin the collection satisfy a pattern as a product stream. The elementsassociated with the product stream may be purchased from the productpurchase element, may direct the user to a portal where the items can bepurchased. If the collection includes a plurality of links relating tosongs, then a playlist may be created in the summary as shown in FIG.14. If the items relate to travel items, a travel itinerary, a map, aroute, travel booking widget, or any suitable interface can be added.The summary generated from extracted patterns may include any suitablenumber of summary modules. Every card in the collection may not conformto the pattern, but cards that do fit a particular pattern arepreferably summarized. The summary modules can be rendered above thecollection interface, at the bottom of the collection interface, oneither side of the collection interface, within the result stream, or inany suitable locations.

The extracted patterns can additionally be set as stream-level (i.e.,collection-level) context properties and augmenting a collection in asecond instance can include modifying queries made through thecollection to include extracted pattern information S314 as shown inFIG. 15. As stream-level context properties, subsequent queries made inassociation with the collection or that branch off of an existing resultcard, can be submitted using the stream-level context properties toaugment, supplement, or alter the new query input. Extraction ofpatterns can additionally be continually updated so that the contextproperties of a collection are updated with any new information. Forexample, a collection may include numerous restaurant information cardswithin a particular city. A location context property can be set forthat city. If, after continued building of the collection, the averagelocation of the collection changes to be more generally described by amulti-state region, the context property can be update to incorporatethe new location information.

In a third variation of a preferred embodiment, a method mayadditionally or alternatively include copying the collection to a secondcollection and augmenting the second collection according to modifiedcontext properties S320, which functions to use at least partial contentof a first collection to generate, seed, initialize a second collection.The second collection can be generated by applying the modified contextproperties to the queries of the result cards in the collection. Asecond collection may be generated from a first search in a variety ofways. In a first approach, an account (the authoring account as shown inFIG. 16 or another account as shown in FIG. 17) can preferably duplicatethe collection. Duplicating a collection preferably adds a copy of thecollection to a set of collections of the account. The copy of thecollection can preferably be edited independently from the firstcollection. The copy of the collection may additionally be appended,merged, prepended, or otherwise added to an existing collection. In asecond approach, a result card of a collection may be copied to a secondcollection. The result card can preferably be copied in a mannersubstantially similar to copying a collection. A result card may becopied to create a new collection seeded with that result card orprepended, appended, merged, or otherwise added to an existingcollection. Similarly, a result card can be updated with a new queryinput submission, the query submission can be made to a differentservice, with modified query input, altered processing of result data,and/or any suitable modification.

In one variation of augmenting the second collection, context propertiesapplied to the queries of the result items can be selected according tothe identity of the user copying the collection. Editable contextproperties and query variables can be pulled from the result cards inthe collection and presented within a user interface. For example, if acollection shows result cards of different movies and their respectivemovie show times for a particular date near a particular location, auser interface could be generated so that the date and location can beedited. Once a date and location are selected the second collection canbe generated using the original collection as a base template butrefreshing result data dependent on the new date and location contextproperties. In another variation of augmenting the second collection,the context properties can be automatically applied to queries of theresult items according to properties of the user copying the collection.A user account can include various properties that can be used toautomatically customize a collection for the user. For example, the usermay have a location setting that can refresh result cards that depend onlocal information. Other suitable properties of the user can includeservice preferences. In some instances a set of different services maybe available to fulfill a particular query input; a user can have aproperty defining a particular service that should be used. When apreferred service is detected, augmenting the collection can includeupdating the result data of a result item with an equivalent query inputsubmitted to a service API if the preferred service. The format of theresult card may or may not change.

As mentioned above, a template collection may be used to generate acollection according to a set of result cards and variables that impactat least one query for the result cards as shown in FIG. 16. Templatecollections and result cards are preferably displayed as normalcollections, and data object/model characterizing the collectionincludes defined template variables and the values used in the displayedcollection. Alternatively, the template variables may be highlighted,marked, or indicated in the collection. When generating a secondcollection from a template collection (or template result card), thetemplate variable(s) are preferably collected to complete the retrievalof data for the result cards. The template variables and thecorresponding input fields may be displayed within the correspondingcards, or alternatively an account may be guided through completing thetemplate variables prior to generating the second collection. Forexample, if a user selects to create a new collection based on atemplate collection. The user may be asked to provide information orinput including location information, time information, accountinformation, parameter setting, result card option selection (e.g.,selecting a movie option within a result card), and completing templatevariables in other suitable approaches. Once the template variables arecompleted, the second collection can be generated. As a collection canhave informational dependency and some variables may be dependent on aninitial result card. The template variables may be progressivelyanswered as the second collection is progressively generated based onthe result card/query order. In one variation, this progressivegeneration is presented as a series of user interaction steps to buildup a collection based on the type of result cards of the copiedcollection.

In a variation of a preferred embodiment, modifying a collection caninclude presenting and augmenting the collection according to a seconduser S330, as shown in FIG. 18. As mentioned above, a collection andmore specifically at least one result card may be rendered differentlydepending on who is accessing the collection. The augmentation of thecollection is preferably automatic based on settings of the user, usagepatterns of the user, or detected properties of the user. Block S330 canbe substantially similar to block S320 described above, except isperformed live on the collection instead of copying and saving a newcollection. The query inputs can be resubmitted (to the same ordifferent services). In one variation, this may be applied for security,enforcing a permissions model of viewing a result card according to theaccount. Preferably a privacy setting may be set for a collection, andmay additionally be set for each result card. Privacy settings maydefine editors/contributors and viewers of the collection/result card.Preferably, permissions are enforced by a card renderer but mayalternatively be integrated into any suitable component of the queryplatform. When an account is accessing a search steam, the permissionsof the accessing account are determined. The permissions are then usedin selection of an appropriate card template when rendering result datafor a card as shown in FIG. 19. In this way sensitive data may beremoved and non-sensitive data of the result card still presented.Enforcing the permissions may be used such that result cards may be usedfor retrieving personal or sensitive information that would not beappropriate for displaying to other viewers of a collection. In oneexemplary application, a result card may be tied to an outside serviceaccount of the author of the collection. When a second account accessedthe collection, the result card tied to the personal account may beconverted into a template card so that the second account canauthenticate against the outside service. Once the account hasauthenticated with the outside service the result data for the secondaccount is displayed.

The method may additionally or alternatively include enablingcollaboration S400, which functions to allow multiple accounts tocontribute to a collection as shown in FIG. 20. A first account willpreferably create or initialize a collection. Collections willpreferably default to at least one permission setting, which candetermine the allowed collaborators/contributors. The first account orany account with suitable permissions can invite collaborators and/orset the collaboration setting. In one collaboration mode, only invitedaccounts can collaborate on the collection. In another collaborationmode, accounts with a social connection to the account may collaborate(e.g., a social network friend). In another collaboration mode, anyaccount may contribute to the collection. Collaboration preferablyincludes modifying and editing the collection in response to directivesof at least two accounts. This may include adding queries and resultcards, changing existing result cards, removing result cards,rearranging result cards, and/or any suitable action. For example, agenerating a collection can include a first user submitting a query andadding at least one result card to the collection and a second usersubmitting a query and adding at least one result card to thecollection.

The method may additionally or alternatively include embedding acollection in an outside portal S500, which functions to provide a wayfor collections and/or result cards to be shared, viewed, interactedwith outside of the query platform. Preferably, the query platform canprovide an embeddable code, which can include web markup and scriptinginstructions. The embeddable collection may alternatively be anysuitable form of embeddable data object. The embeddable collection orresult card is preferably displayed within an iframe, a flash file, acanvas HTML object, JAVA applet, or any suitable object tocompartmentalize the content. A user can preferably copy and paste orotherwise select the collection for inclusion in an outside website asshown in FIG. 10. The collection may be embedded in any suitableapplication, document, content, media, or website. An embeddablecollection or card may be rendered into a custom embeddable format butmay be displayed in any suitable configuration.

In additional variations of a preferred embodiment, a method mayadditionally or alternatively include sharing of a collection and/orresult card, which functions to add a social layer to collections of thequery platform. Accounts, collections, and/or specific result cards canpreferably be shared by email, shared on social networks, voted on,liked/disliked, favorited, blocked, followed, commented on, or receiveany suitable sharing or social action. Notifications may additionally begenerated based on activity of accounts and social streams. A user canbe notified or view in an activity stream recent actions of accounts.Notifications may alternatively be based on query data of a result card.The query platform may be able to detect when changes occur in theresult data of a particular card either during updating a live resultcard or performing an identical query for another account. The updatedata or some portion of the data may be conveyed in a notification to anassociated account.

Additionally or alternatively, a method of a preferred embodiment mayinclude indexing and searching within a plurality of collections. Whensearching within a query platform, the search implementation may allowfor searching for particular tags, metadata (e.g., location, names,times, etc.), authors, result card content, or any suitable aspect.Search results may additionally be limited to types of collections suchas personal collections, collections of friends, collections offollowers, collaborative collections, public collections, popularcollections, and/or other suitable categorization of collections. In analternative embodiment, the collections may be indexed for internal use.Indexed collections may be used in combination with machine learning ora recommendation engine to suggest templates and/or similar collections.Similarly, indexing collections may allow for result cards and queriesto be recommended. For example, a user may create a collection ofmovies, and if the list of movies is highly similar to other users'collections of movies, the system could either suggest cards sourcedfrom the similar collections and/or suggest the user view thosecollections directly.

The system and methods of the preferred embodiment and variationsthereof can be embodied and/or implemented at least in part as a machineconfigured to receive a computer-readable medium storingcomputer-readable instructions. The instructions are preferably executedby computer-executable components preferably integrated with the queryplatform system. The computer-readable medium can be stored on anysuitable computer-readable media such as RAMs, ROMs, flash memory,EEPROMs, optical devices (CD or DVD), hard drives, floppy drives, or anysuitable device. The computer-executable component is preferably ageneral or application specific processor, but any suitable dedicatedhardware or hardware/firmware combination device can alternatively oradditionally execute the instructions.

Although omitted for conciseness, the preferred embodiments includeevery combination and permutation of the various system components andthe various operations of the method.

As a person skilled in the art will recognize from the previous detaileddescription and from the figures and claims, modifications and changescan be made to the preferred embodiments of the invention withoutdeparting from the scope of this invention defined in the followingclaims.

What is claimed is:
 1. A computer implemented method comprising: generating a shareable search result stream comprising a first result item rendered from a first query result data associated with a first user account; augmenting or modifying a second result item rendered from a second query result data associated with a second user account based on context data of the first result item; adding the augmented or modified second result item to the shareable search result steam; and providing the sharable search result stream comprising the first result item associated with the first user account and the augmented or modified second result item associated with the second user account to a first computing device associated with the first user account and a second computing device associated with the second user account.
 2. The computer implemented method of claim 1, wherein the context data of the first result item comprises at least one of location information or time information.
 3. The computer implemented method of claim 1, wherein the second query result data is retrieved according to at least one context parameter of the first result item.
 4. The computer implemented method of claim 1, wherein providing the sharable search result stream further comprises providing the context data to be shown in a representation of the first result item and the second result item.
 5. The computer implemented method of claim 1, wherein the context data of the first result item is used to augment a second query to generate the second query result data.
 6. The computer implemented method of claim 1, wherein providing the sharable search result stream comprising the first result item and the augmented or modified second result item to the second computing device associated with the second user account comprises: determining preferences associated with the second user account; refreshing at least one result item in the shareable search result stream based on the preferences associated with the second user account, to generate an updated shareable search result stream; and providing the updated shareable search result stream to the second computing device.
 7. The computer implemented method of claim 6, wherein the preferences comprise a preferred service for the at least one result item that is different from a service used to perform a query to generate query result data used to render the at least one result item, and wherein refreshing at least one result item in the shareable search result stream based on the preferences associated with the second user account, to generate an updated shareable search result stream, comprises refreshing the at least one result item to show content of the preferred service.
 8. The computer implemented method of claim 1, wherein the first result item comprises live data and wherein providing the sharable search result stream comprising the first result item and the augmented or modified second result item to a first computing device associated with the first user account and a second computing device associated with the second user account comprises: updating the live data of the first query result data of the first result item to generate an updated first result item; and providing the shareable search result stream comprising the updated first result item and the augmented or modified second result item to the first computing device associated with the first user account and the second computing device associated with the second user account.
 9. The computer implemented method of claim 8, wherein the live data comprises a portion of data of the first result item.
 10. The computer implemented method of claim 1, wherein the shareable search result stream is a dynamic shareable search result stream that is automatically updated to generate a new result item based on a notification related to one or more user accounts authorized to access the dynamic shareable search result stream.
 11. The computer implemented method of claim 10, wherein the notification is a location-based notification indicating a current location of a user associated with the one or more user accounts authorized to access the dynamic shareable search result stream.
 12. The computer implemented method of claim 1, wherein the shareable result stream is a first shareable result stream, and the method further comprises: receiving template variables from the first computing device associated with the first user account; creating a template based on the first shareable result stream; generating a new sharable search result stream using the template variables and template based on the first shareable result stream; and providing the new shareable result stream to the first computing device.
 13. A system comprising: a memory that stores instructions; and one or more processors configured by the instructions to perform operations comprising: generating a shareable search result stream comprising a first result item rendered from a first query result data associated with a first user account; augmenting or modifying a second result item rendered from a second query result data associated with a second user account based on context data of the first result item; adding the augmented or modified second result item to the shareable search result steam; and providing the sharable search result stream comprising the first result item associated with the first user account and the augmented or modified second result item associated with the second user account to a first computing device associated with the first user account and a second computing device associated with the second user account.
 14. The system of claim 13, wherein the context data of the first result item comprises at least one of location information or time information.
 15. The system of claim 13, wherein the second query result data is retrieved according to at least one context parameter of the first result item.
 16. The system of claim 13, wherein providing the sharable search result stream further comprises providing the context data to be shown in a representation of the first result item and the second result item.
 17. The system of claim 13, wherein the context data of the first result item is used to augment a second query to generate the second query result data.
 18. The system of claim 13, wherein providing the sharable search result stream comprising the first result item and the augmented or modified second result item to the second computing device associated with the second user account comprises: determining preferences associated with the second user account; refreshing at least one result item in the shareable search result stream based on the preferences associated with the second user account, to generate an updated shareable search result stream; and providing the updated shareable search result stream to the second computing device.
 19. The system of claim 13, wherein the shareable search result stream is a dynamic shareable search result stream that is automatically updated to generate a new result item based on a notification related to one or more user accounts authorized to access the dynamic shareable search result stream.
 20. A non-transitory computer-readable medium comprising instructions that when executable by a processor cause a computing device to perform operations comprising: generating a shareable search result stream comprising a first result item rendered from a first query result data associated with a first user account; augmenting or modifying a second result item rendered from a second query result data associated with a second user account based on context data of the first result item; adding the augmented or modified second result item to the shareable search result steam; and providing the sharable search result stream comprising the first result item associated with the first user account and the augmented or modified second result item associated with the second user account to a first computing device associated with the first user account and a second computing device associated with the second user account. 